Image-Caption-Generation and Image-Captioning

Image-Caption-Generation
32
Emerging
Image-Captioning
26
Experimental
Maintenance 0/25
Adoption 3/25
Maturity 16/25
Community 13/25
Maintenance 0/25
Adoption 4/25
Maturity 8/25
Community 14/25
Stars: 4
Forks: 2
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 8
Forks: 3
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Image-Caption-Generation

Projects-at-UWM/Image-Caption-Generation

This project has the capability of generating image description and then attaching a label to it. Our model analyzes the objects in the image and generates categories that can be used as labels and further recommends captions to the user as they upload images into the application.

About Image-Captioning

Thejesh-M/Image-Captioning

Image Captioning is the process of generating textual description of an image.It uses both Natural language Processing and Computer Vision to generate the captions.

This tool automatically generates descriptive text for images. You provide an image, and it outputs several sentences describing the objects, actions, and overall scene in the picture. This is useful for content creators, digital asset managers, or anyone needing to quickly add captions or alt-text to a large collection of images.

content-creation digital-asset-management accessibility image-cataloging marketing-automation

Related comparisons

Image-Caption-Generation and Neural_Image_Caption_Generator Image-Caption-Generation and Image_Captioning_DeepLearning Image-Caption-Generation and Neural_Image_Caption_Generator

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